Tag: IBM

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Data Mining For the Masses

(Seth Grimes) Data mining as an analytic discipline is neither as obvious as query and reporting nor as carefully positioned, marketing wise, as online analytic processing (OLAP). It encompasses several disparate techniques, and, although it has achieved noteworthy results in applications such as cr

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DB2’s Virtual Time

(Marin Komadina) The time problem occupied my attention, during a recent recovery situation. On the SUN Solaris machine, the system time jumped forward unexpectedly. This situation raised questions about system and database time interaction, the time drift influence on the backup and recovery and ma

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Profiling SQL procedures

(Sundip Pradhan and Serge Rielau) Complex applications or batch processing can execute hundreds of SQL procedures and potentially thousands of SQL statements, difficult to tune using traditional monitoring methods. This article introduces a Java-based GUI tool for use with DB2® Universal Databas